Spatial Epidemiology of COPD in Delhi, India

A. Sharma, Rakesh Kumar, N. Saini, C. Ghosh, S. Dey, Palak Balyan
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Abstract

Introduction Chronic obstructive pulmonary disease (COPD) and bronchial asthma are the most common chronic respiratory illnesses. COPD is one of the three most common causes of death worldwide. The main burden of mortality from COPD is seen in Latin America, sub-Saharan Africa, India, China, and South-East Asia. Absence of true prevalence values and mortality burden hinder planning and operationalization of public health interventions for prevention, control, and treatment of the disease. Further, the aggregated value of prevalence estimates calculated for a whole city or a larger geographical area does not provide the location of patients and presence of locally prevalent risk factors. The objective of this study was to understand the spatial distribution of COPD in a large, highly polluted city of a developing country. Materials and Methods A cross-sectional community-based study was conducted in the National Capital Territory of Delhi (NCTD). All surveyed households were geocoded. GOLD screening criteria and pulmonary function tests using portable digital spirometer were used for diagnosis of COPD. Results Results are presented as a series of maps depicting spatial epidemiology. Overall prevalence rate was 9.8/1,000 population. Highest prevalence was seen in industrial area. Most of the spatial hotspots were seen in industrial and slum areas. Similarly, Kernel density was also highest in industrial area. Conclusion In the city of NCTD, we found the COPD being distributed in all types of habitations but spatial distribution helped us understand clustering of cases and compare prevalence rates in subunits of residential clusters within a metropolitan city.
印度德里COPD的空间流行病学
介绍 慢性阻塞性肺病(COPD)和支气管哮喘是最常见的慢性呼吸道疾病。COPD是全球三大最常见的死亡原因之一。慢性阻塞性肺病死亡率的主要负担出现在拉丁美洲、撒哈拉以南非洲、印度、中国和东南亚。缺乏真实的流行率值和死亡率负担阻碍了预防、控制和治疗该疾病的公共卫生干预措施的规划和实施。此外,为整个城市或更大的地理区域计算的流行率估计的汇总值并不能提供患者的位置和当地流行风险因素的存在。本研究的目的是了解发展中国家一个污染严重的大城市中COPD的空间分布。材料和方法 在德里国家首都地区(NCTD)进行了一项基于社区的横断面研究。所有接受调查的家庭都进行了地理编码。GOLD筛查标准和便携式数字肺活量计肺功能测试用于COPD的诊断。后果 结果显示为一系列描述空间流行病学的地图。总患病率为9.8‰。工业区的发病率最高。大多数空间热点出现在工业区和贫民窟。同样,工业区的内核密度也最高。结论 在NCTD市,我们发现COPD分布在所有类型的居住区,但空间分布有助于我们了解病例的聚集性,并比较大都市内居住区亚单位的患病率。
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